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Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder
The last decades have witnessed a vast amount of interest and research in feature representation learning from multiple disciplines, such as biology and bioinformatics. Among all the real-world application scenarios, feature extraction from knowledge graph (KG) for personalized recommendation has ac...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204654/ https://www.ncbi.nlm.nih.gov/pubmed/35719384 http://dx.doi.org/10.3389/fgene.2022.891265 |